SEARCH

SEARCH BY CITATION

References

  • Austin, P. (1987), Relation between measured radar reflectivity and surface rainfall, Mon. Weather Rev., 115, 10531070.
  • Badas, M. G., R. Deidda, and E. Piga (2006), Modulation of homogeneous space-time rainfall cascades to account for orographic influences, Nat. Hazards Earth Syst. Sci., 6, 427437.
  • Brier, G. W. (1950), Verification of forecasts expressed in terms of probability, Mon. Weather Rev., 78, 13.
  • Bowler, N., C. E. Pierce, and A. W. Seed (2004), Development of a rainfall nowcasting algorithm based on optical flow techniques, J. Hydrol., 288, 7491.
  • Bowler, N., C. E. Pierce, and A. W. Seed (2006), STEPS: A probabilistic rainfall forecasting scheme which merges an extrapolation nowcast with downscales NWP, Q. J. R. Meteorol. Soc., 132, 21272155.
  • Box, G. P., and G. M. Jenkins (1976), Time Series Analysis: Forecasting and Control, Holden-Day, San Francisco, Calif.
  • Browning, K. A. (1980), Local weather forecasting, Proc. R. Soc. London, Ser. A, 371(1745), 179211.
  • Ceresetti, D., G. Molinié, and J.-D. Creutin (2010), Scaling properties of heavy rainfall at short duration: A regional analysis, Water Resour. Res., 46, W09531, doi:10.1029/2009WR008603.
  • Chumchean, S., A. Seed, and A. Sharma (2008), An operational approach for classifying storms in real-time radar rainfall estimation, J. Hydrol., 363(1–4), 117, doi:10.1016/j.jhydrol.2008.09.005.
  • Ciach, G. J., W. F. Krajewski, and G. Villarini (2007), Product-error-driven uncertainty model of probabilistic quantitative rainfall estimation with NEXRAD data, J. Hydrometeorol., 8, 13251347.
  • Davies, T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood (2005), A new dynamical core for the Met Office's global and regional modelling of the atmosphere, Q. J. R. Meteorol. Soc., 131, 17591782.
  • De Michele, C., and P. Bernardara (2005), Spectral analysis and modelling of space-time rainfall fields, Atmos. Res., 77, 124136.
  • Fox, N., M. Sleigh, and C. Pierce (2001), Forecast demonstration project Sydney 2000: Part 1: An overview of the project and the participating systems, Weather, 56, 397404.
  • Germann, U., and J. Joss (2001), Variograms of radar reflectivity to describe the spatial continuity of Alpine rainfall, J. Appl. Meteorol., 40, 10421059.
  • Germann, U., and I. Zawadzki (2002), Scale-dependence of the predictability of rainfall from continental radar images. Part 1: Description of the methodology, Mon. Weather Rev., 130, 28592873.
  • Germann, U., M. Berenguer, D. Sempere-Torres, and M. Zappa (2009), REAL—ensemble radar rainfall estimation for hydrology in a mountainous region, Q. J. R. Meteorol. Soc., 135(639), 445456.
  • Golding, B. W. (1998), Nimrod: A system for generating automated very short range forecasts, Meteorol. Appl., 5, 116.
  • Harrison, D. L., K. Norman, C. Pierce, and N. Gaussiat (2012), Radar products for hydrological applications in the UK, Water Manage., 165(WM2), 89103.
  • Jordan, P. W., A. W. Seed, and P. E. Weinmann (2003), A stochastic model of radar measurement errors in rainfall accumulations at catchment scale, J. Hydrometeorol., 4, 841855.
  • Lean, H. W., P. A. Clark, M. Dixon, N. M. Roberts, A. Fitch, R. Forbes, and C. Halliwell (2008), Characteristics of high-resolution versions of the Met Office unified model for forecasting convection over the United Kingdom, Mon. Weather Rev., 136, 34083424.
  • Lee, G. W., and I. Zawadzki (2005a), Variability of drop size distributions: Time scale dependence of the variability and its effects on rain estimation, J. Appl. Meteorol., 44, 241255.
  • Lee, G. W., and I. Zawadzki (2005b), Variability of drop size distributions: Noise and noise filtering in disdrometric data, J. Appl. Meteorol., 44, 634652.
  • Lee, G. W., and I. Zawadzki (2006), Radar calibration by gage, disdrometer and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data, J. Hydrol., 328, 8397.
  • Lee, G., A. W. Seed, and I. Zawadzki (2007), Modeling the variability of drop size distributions in space and time, J. Appl. Meteorol. Climatol., 46, 742756.
  • Llort, X., C. Velasco-Forero, J. Roca-Sancho, and D. Sempere-Torres (2008), Characterization of uncertainty in radar-based rainfall estimates and ensemble generation, paper presented at the Fifth European Conference on Radar in Meteorology and Hydrology (ERAD 2008), Finnish Meteorological Institute, Helsinki, Finland.
  • Lovejoy, S., and D. Schertzer (2006), Multifractals, cloud radiances and rain, J. Hydrol., 322, 5988.
  • Mason, S. J., and N. E. Graham (2002), Conditional probabilities, relative operating characteristic and relative operating levels, Weather Forecasting, 14, 713725.
  • Mittermaier, M. P., (2007), Improving short-range high-resolution model rainfall forecast skill using time-lagged ensembles, Q. J. R. Meteorol. Soc., 133(627), 14871500.
  • Norman, K., A. Seed, and C. Pierce (2010), A comparison of two radar rainfall ensemble generators, paper presented the Sixth European Conference on Radar in Meteorology and Hydrology (ERAD 2010), Administratia Nationala de Meteorologie, Sibiu, Romania.
  • Pierce, C., N. Bowler, A. Seed, D. A. Jones, and R. J. Moore (2005), Use of a stochastic precipitation nowcast scheme for fluvial flood forecasting and warning. Atmos. Science Letters, 6(1), 7883.
  • Pierce, C., K. Norman, and A. Seed (2012), Use of ensemble radar estimates of rainfall rate within a stochastic, quantitative rainfall nowcasting algorithm, paper presented at the Eighth International Symposium on Weather Radar and Hydrology, Met Office, Exeter, U. K.
  • Price, D., K. Hudson, G. Boyce, J. Schellekens, R. J. Moore, P. Clark, T. Harrison, E. Connolly, and C. Pilling (2012), Operational use of a grid-based model for flood forecasting, Water Manage., 165(WM2), 5564.
  • Purdy, J. C., D. Harris, G. L. Austin, A. W. Seed, and W. Gray (2001), A case study of orographic rainfall processes incorporating multiscaling characterisation techniques, J. Geophys. Res., 106(D8), 78377845.
  • Seed, A. W. (2003), A dynamic and spatial scaling approach to advection forecasting, J. Appl. Meteorol., 42, 381388.
  • Velasco, C. A., D. Sempere-Torres, E. F. Cassiraga, and J. J. Gómez-Hernández (2009), A non-parametric automatic blending methodology to estimate rainfall fields from rain gauge and radar data, Adv. Water Resour., 32, 9861002.
  • Werner, M., and M. Cranston (2009), Understanding the value of radar rainfall nowcasts in flood forecasting and warning in flashy catchments, Meteorol. Appl., 16(1), 4155.
  • Wright, B. (1994), A variational rainfall rate analysis scheme for Nimrod, Met Off. Forecasting Res. Div. Tech. Rep. 143, Met Off, Exeter, U. K.